Insmed (INSM) Amortization - Intangibles (2018 - 2026)
Insmed's Amortization - Intangibles came in at $5.05 million for Q3 2026, up 228.3% from $1.54 million a year earlier and up 142.7% from the prior quarter.
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Analysis
Insmed (INSM) Amortization - Intangibles (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Insmed reported Amortization - Intangibles of $11.15 million, up 109.3% year-over-year; for FY2025, it was $6 million, up 18.8% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $5.05 million in FY2024 (unchanged), $5.05 million in FY2023 (unchanged), $5.05 million in FY2022 (unchanged) and $5.05 million in FY2021 (+1.0%).
- The Q3 2026 figure represents the highest quarterly Amortization - Intangibles in data going back to Q4 2018.
- Year-over-year, Amortization - Intangibles has increased for five consecutive quarters, with growth averaging 54.1% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q3 2026 (growth of 228.3%), and the weakest in Q3 2022 (a decline of 0.1%).
- Business Quant data shows INSM's Amortization - Intangibles at $2.08 million (Q2 2026), $2.08 million (Q1 2026) and $1.94 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Insmed | 26.21 Bn | 21.25 Bn | 446.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.05 Mn |
| Jun 30, 2026 | 2.08 Mn |
| Mar 31, 2026 | 2.08 Mn |
| Dec 31, 2025 | 1.94 Mn |
| Sep 30, 2025 | 1.54 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 1.26 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 1.26 Mn |
| Jun 30, 2024 | 1.26 Mn |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 1.26 Mn |
| Jun 30, 2023 | 1.26 Mn |
| Mar 31, 2023 | 1.26 Mn |
| Dec 31, 2022 | 1.26 Mn |
| Sep 30, 2022 | 1.26 Mn |
| Jun 30, 2022 | 1.26 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.26 Mn |
API Access
Insmed Amortization - Intangibles API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=INSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "INSM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();